By Mattie Van Gundy, Account Director, Professional Services 

A potential customer searches for your company. A journalist looks up your CEO. An investor compares you to a competitor. A prospective employee asks what your brand is known for. 

Increasingly, the first answer they see may not be your website, your latest press release, or even a recent article. It may be an AI-generated summary. 

That matters because AI-powered search is changing how people discover, evaluate and understand brands. Instead of scrolling through pages of search results, users are often handed a synthesized answer pulled from multiple sources across the web. Sometimes that answer is useful. Sometimes it is incomplete. Sometimes it is outdated. And sometimes, it does not reflect the story your brand has worked hard to tell. 

If your PR strategy is built only around visibility, it may be missing the bigger question: when AI summarizes your brand, is it getting the story right? 

AI Search Is a Reputation Issue, Not Just a Search Issue 

For years, brands have thought about search in terms of ranking. Are we showing up? Are we on page one? Are we getting clicks? 

Those questions still matter, but AI search introduces a different challenge. Now, the question is not only whether people can find you. It is whether the information they find is clear, credible, current and consistent enough to be summarized accurately. 

AI-generated answers are shaped by the public record around a brand: owned content, earned media, executive profiles, reviews, social conversations, podcast appearances, analyst commentary, third-party mentions, and more. If those signals are thin, outdated, generic, or inconsistent, the summary may be too. 

That is how a reputation gap forms. 

The AI Reputation Gap 

The AI reputation gap is the distance between what a brand wants to be known for and what AI-powered platforms are likely to say about it. 

A company may want to be known as an innovator, while search results still surface old funding news. A healthcare brand may want to emphasize trust and outcomes, while its available content is too technical to make that clear. A B2B company may be trying to lead a category, while competitors have stronger explainers, clearer thought leadership, and more third-party validation. A founder may want to be seen as a credible industry voice, while their online presence is limited to a short bio and a few outdated mentions. 

This is not a technology problem. It is a communications problem. 

Because AI cannot summarize a story that has not been clearly told. 

Earned Media Is Evidence 

There is a tempting assumption that AI search makes PR less important. The opposite is true. 

AI-generated summaries need credible source material. Strong earned media gives brands external validation that owned content alone cannot provide. Media coverage, executive commentary, bylines, rankings, awards, data-backed reports, podcast interviews, and expert quotes all help build a more complete public record. 

In an AI-mediated search environment, earned media is not just awareness. It is evidence. 

It tells search engines, AI platforms, journalists, buyers, and stakeholders that the brand’s story is not just self-declared. It is supported elsewhere. 

That distinction matters. 

Owned Content Has to Work Harder, Too 

Earned media is only part of the picture. Brands also need owned content that is clear enough for both humans and machines to understand. 

Too often, company websites are written for internal audiences. Messaging becomes vague. Boilerplate grows stale. Product pages assume too much context. Executive bios say very little. Press rooms are outdated. Blog posts promote what the company wants to say, but not what audiences actually need to know. 

If a human reader cannot quickly understand what your company does, why it matters, and what makes it different, AI may struggle too. 

Clarity is no longer just good writing. It is reputation infrastructure. 

A Quick AI Reputation Audit 

As brands head into the second half of the year, now is the right time to pressure-test the story AI is telling. 

Start with the questions your audiences are already asking: What does this company do? Is it trustworthy? Who leads it? What is it known for? How does it compare to competitors? What problem does it solve? Why does it matter now? 

Then review the answers across search engines and AI platforms. Are the summaries accurate? Are they current? Are they missing important proof points? Are competitors defining the category more clearly? Are old narratives still showing up? Are credible sources reinforcing the story you want to tell? 

The answers will show you where your communications strategy needs to get stronger. 

The Goal Is Not to Game AI 

The goal is not to trick platforms, stuff keywords, or chase every new algorithm shift. The goal is to make your brand’s story easier to understand, easier to verify, and harder to misrepresent. 

That may mean refreshing core messaging, updating leadership pages, publishing clearer explainers, developing stronger thought leadership, securing more third-party validation, or building a more consistent media strategy around priority themes. 

AI will continue changing how information is discovered and summarized. Brands cannot control every answer generated about them, but they can influence the quality of the source material that shapes those answers. 

As brands plan for the second half of the year, the question is no longer only, “Are we visible?” It is, “Are we being understood correctly?” 

The brands that win in AI search will not be the ones that say the most. They will be the ones with the clearest, most credible, and most consistently reinforced story.